The Research Of Static Var Generator Based On TMS320F2812

With the increase of residents living electricity consumption and the widespread use of high-power electrical equipment, caused the impact load more and more, the quality of power grid voltage had a great effect. In order to improve the system voltage quality, reduce the loss of the whole power network, and improve the stability of the whole system, reactive power compensation device in power system has played a vital role. For the traditional reactive power compensation equipment, due to its less compensation scope and the quickness of lower compensation defects, and will not be able to meet the needs of power users. Therefore, high-performance reactive compensation devices is key to ensuring stable operation of the system, the development of new reactive power compensation technology is currently more popular research topic.Studies a new type of device of static reactive power generator,compared with the previous reactive power compensation equipment, the device of SVG has a wider operating range, faster response speed, in the system for reactive power compensation can embody the great superiority. Therefore, this article will be on SVG, some key technologies that exist in the system for the corresponding analysis.Firstly, the research background and significance of static var generator are introduced and analyzed, and comparison of the existing of some of the reactive power compensation device, analyzes the superior performance of the SVG; Secondly, this paper focus on the basic principle of static reactive power generator, the main circuit of SVG were studied and analyzed, and on this basis, established the mathematical model of SVG, analysis and comparison of current indirect control and direct current control methods, laying the groundwork for SVG behind the control simulation. Then analyzed and compared limitations and applicability of the reactive current detection method of SVG system, thereby introducing neural network control algorithm, the formation of a new reactive current detection methods, and focuses on introduction. At the same time, the design of SVG system based on TMS320F2812 is the required hardware components and software components in this paper. Finally, the use of MATLAB software, completed the BP neural network training and simulation model built on MATLAB/Simulink system based on SVG, respectively, inductive and capacitive circuit simulation analysis of compensation.